Showing 1-25 of 131,071 resultsfor "Index Terms":Data Processing Algorithms
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Construction of Cloud Edge Integrated Data Model and Design of Efficient Processing Algorithm in Distribution Network
2024 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC)
Year: 2024 | Conference Paper |
The purpose of this article is to build a data model of power distribution network (PDN) which adapts to the cloud edge integration architecture, and to design an efficient data processing algorithm. In order to achieve this goal, this study analyzes the characteristics of PDN data, including data source, structure, scale and dynamics. Based on these characteristics, a multi-level and modular data...Show More
Data Processing Technology in CPSS Platform Design
2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI)
Year: 2022 | Conference Paper |
Data Mining (DM) is a flexible, simple, on-demand computing model that can utilize the network to access and use the same set of computing resources. Now, enterprises are pushing to realize new functions such as cloud video and cloud storage, so that a large amount of data on the enterprise's local server is gradually being transferred to the enterprise cloud. DM integrates and enhances desktop, g...Show More
Research on the Algorithm of Processing Related Data for Automatic Generation of Computerized Reports Using Complex Network Theory
2024 International Conference on Computing, Robotics and System Sciences (ICRSS)
Year: 2024 | Conference Paper |
This study focuses on the automatic generation of reports in a computerized environment and proposes an algorithm for processing related data based on complex network theory. By using the node and edge relationships in the complex network to construct a data association model, the dynamic association analysis of data in the report generation process is realized. The algorithm is designed based on ...Show More
Design and Implementation of Parallel Processing Algorithm for Big Data in High Performance Computing Framework
Qihao Dong;Renlu Teng;Jianliang Chen;Yinuo Zhang;Zhuoxiang Lai
2024 3rd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI)
Year: 2024 | Conference Paper |
This paper discusses the design and implementation of parallel processing algorithm for big data under the framework of high performance computing (HPC). In the design of parallel processing algorithm for big data, this paper proposes a partition method based on data characteristics, which uses K-means clustering algorithm to divide the data set into several subsets, with high correlation within e...Show More
Design and Implementation of Parallel Processing Algorithm for Big Data in High Performance Computing Framework
Qihao Dong;Renlu Teng;Jianliang Chen;Yinuo Zhang;Zhuoxiang Lai
2024 3rd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI)
Year: 2024 | Conference Paper |
BAGH – Comparative Study
2019 3rd International Conference on Computing and Communications Technologies (ICCCT)
Year: 2019 | Conference Paper |
Process mining is a new emerging research trend over the last decade which focuses on analyzing the processes using event log and data. The raising integration of information systems for the operation of business processes provides the basis for innovative data analysis approaches. Process mining has the strong relationship between with data mining so that it enables the bond between business inte...Show More
High Efficiency Integrated Test Processing Technology and System for High Resolution SAR Satellite
Manyi Tao;Xiang Zhang;Fang Dong;Guangqing Hu;Xinjie Zhang;Ruzhi Zhou
2021 2nd China International SAR Symposium (CISS)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
SAR satellite installation mounted test is an important part of satellite ground test. According to the current requirements of high-resolution SAR satellite ground test, as well as the characteristics of spaceborne SAR, such as high-resolution, large data volume and complex data type, firstly, the overall scheme architecture of integrated test system is studied and constructed based on the princi...Show More
Research on Intelligent Data Processing Support Model of Government Information System Based on Deep Learning
2025 Asia-Europe Conference on Cybersecurity, Internet of Things and Soft Computing (CITSC)
Year: 2025 | Conference Paper |
This study constructs a data processing model that supports government information system. By designing a deep learning algorithm suitable for government scenarios, intelligent processing functions such as text analysis and image recognition are integrated into the system, aiming to achieve accurate processing of multi-source government data. The model design includes data preprocessing, feature e...Show More
Streaming Process Discovery for Lambda Architecture-Based Process Monitoring Platform
2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)
Year: 2018 | Conference Paper |
Cited by: Papers (10)
Having precise information about how business processes are performed in real-life is an important competitive advantage for a modern company. The digital footprint left by processes in IT systems can be transformed to event data for further analysis by process mining techniques. One of the biggest challenge of process mining is to deal with streaming event data and provide operational support for...Show More
Research on Data Mining Technology Based on Data Stream Management Systems
2024 International Conference on Electronics and Devices, Computational Science (ICEDCS)
Year: 2024 | Conference Paper |
With the advent of the big data era, Data Stream Management Systems (DSMS) have gradually become important tools for processing massive real-time data. This paper studies the data mining technology within DSMS, exploring its applications in real-time data processing, anomaly detection, and decision support. First, the paper reviews the basic concepts and current status of DSMS and data mining tech...Show More
Optimization Design of Apriori Algorithm Based on Big Data Analysis and Cloud Computing
2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
With the development of the era of big data, data information is used more and more in life, and the application of data analysis is more and more extensive. The algorithm of data mining and association analysis are to find some internal relations in a large number of data sets. Although big data has brought abundant information and knowledge, its complexity in scale, rapid growth, diversity in fo...Show More
Research on the Algorithm of Multi-Threaded Service Monitoring for Automatic Sorting of Work Order Data
2025 IEEE 5th International Conference on Power, Electronics and Computer Applications (ICPECA)
Year: 2025 | Conference Paper |
This paper proposes an automatic sorting algorithm for work order data based on multi-threaded service monitoring, aiming to improve the processing efficiency and real-time performance of work order data by optimizing thread scheduling and load balancing strategies. First, this paper analyzes the architecture and challenges of the multi-threaded service monitoring system, and proposes a series of ...Show More
Performance Optimization Design of Big Data Processing System Based on Deep Learning Algorithm
2023 International Conference on Telecommunications, Electronics and Informatics (ICTEI)
Year: 2023 | Conference Paper |
With the rapid growth of information technology, the data in this field shows an explosive growth trend, which also means the arrival of the “big data” era. This article uses Deep Belief Network (DBN) to improve the big data processing system, shorten the life cycle of data processing, fully improve the efficiency of data processing, and provide a more convenient platform technology for data proce...Show More
GISTDA EOC synthetic aperture radar data processing system
Ussanai Nithirochananont;Sorawat Chivapreecha;Chanchai Peanvijarnpong;Kobchai Dejhan
2010 6th International Colloquium on Signal Processing & its Applications
Year: 2010 | Conference Paper |
Located in Ladkrabang, Bangkok, The Earth Observation Center (EOC) of the Geo-Informatics and Space Technology Development Agency (GISTDA) is a ground station for receiving, managing, processing and archiving the Earth observation satellites data. The GISTDA EOC has two SAR data processing systems (SDPS) to support data processing from two SAR satellite constellations: RADARSAT and ALOS. This pape...Show More
Research on an Innovative Algorithm for Optimizing Intelligent Image Data Systems Based on Deep Learning
2024 IEEE 7th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)
Year: 2024 | Conference Paper |
This paper proposes an innovative algorithm for optimizing intelligent image data systems based on deep learning. The algorithm combines image feature extraction, data preprocessing and efficient optimization strategies to improve the performance and accuracy of image data processing systems. First, by designing a deep CNN architecture, important features in the image are extracted to achieve effi...Show More
Mass log data processing and mining based on Hadoop and cloud computing
2012 7th International Conference on Computer Science & Education (ICCSE)
Year: 2012 | Conference Paper |
With the rapid development of the Internet, SaaS applications delivered as services through internet become an important alternative of traditional software. While using the services, users need real time usage information, and they also need to dig out useful knowledge. As a result, data processing and data mining techniques are designed to cope with such problems, and using log data is an effect...Show More
Data Processing in CPSS Platform Based on Data Mining and Cloud Edge Computing
2022 International Conference on 3D Immersion, Interaction and Multi-sensory Experiences (ICDIIME)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
CPSS, a better social-physical information system, can better achieve the management and control goals of security and efficiency of complex systems. The large amount of data information in this CPSS platform needs to be processed reasonably and quickly. The purpose of this article is to solve the problem of processing a large amount of data information in the CPSS platform. In combination with tr...Show More
A real-time data processing algorithm based on run-length encoding (RLE) for an intelligent racing vehicle is introduced in this paper. In order to improve the achievement of the intelligent racing vehicle's running in the second loop by recoding route information, a new method based on RLE is provided by setting an optimal calculus threshold. Simulated by Matlab/Simulink, the route memorization a...Show More
A Distributed Data Mining Framework Accelerated with Graphics Processing Units
2013 International Conference on Cloud Computing and Big Data
Year: 2013 | Conference Paper |
Cited by: Papers (3)
In the context of processing high volumes of data, the recent developments have led to numerous models and frameworks of distributed processing running on clusters of commodity hardware. On the other side, the Graphics Processing Unit (GPU) has seen much enthusiastic development as a device for general-purpose intensive parallel computation. In this paper we propose a framework which combines both...Show More
Real-Time Big Data Analytical Architecture for Remote Sensing Application
Muhammad Mazhar Ullah Rathore;Anand Paul;Awais Ahmad;Bo-Wei Chen;Bormin Huang;Wen Ji
The assets of remote senses digital world daily generate massive volume of real-time data (mainly referred to the term “Big Data”), where insight information has a potential significance if collected and aggregated effectively. In today's era, there is a great deal added to real-time remote sensing Big Data than it seems at first, and extracting the useful information in an efficient manner leads ...Show More
Massively LDPC Decoding on Multicore Architectures
Unlike usual VLSI approaches necessary for the computation of intensive Low-Density Parity-Check (LDPC) code decoders, this paper presents flexible software-based LDPC decoders. Algorithms and data structures suitable for parallel computing are proposed in this paper to perform LDPC decoding on multicore architectures. To evaluate the efficiency of the proposed parallel algorithms, LDPC decoders w...Show More
Dynamic load balancing decision algorithm for domestic data processing system
2017 29th Chinese Control And Decision Conference (CCDC)
Year: 2017 | Conference Paper |
In this paper, a new dynamic load balancing decision algorithm is proposed based on the multi-core single-server of the domestic data processing system, and the data processing capability of the whole data processing system is improved by software algorithm. First, we set CPU affinity, which binds the process task on the CPU core to prevent inter-process migration. The weighted minimum join algori...Show More
Medical Big Data Statistical Management System Based on Decision Tree Algorithm
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )
Year: 2022 | Conference Paper |
Cited by: Papers (1)
In some hospitals, it is often seen that because there are more patients and fewer doctors, the attending doctor often rushes between the patient's wards to query the patient's physiological data, or the nurse is responsible for recording the patient's physiological data and reporting it to the doctor. The work is very labor-intensive, and the data seen by the doctor is not real-time data, so the ...Show More
Real-time Monitoring System for Large-scale Data Processing in Cloud Computing Environment: A Research Study
2024 International Conference on Information Technology, Comunication Ecosystem and Management (ITCEM)
Year: 2024 | Conference Paper |
To meet the real-time processing demands of large-scale e-commerce transaction data, a distributed data processing system was designed and implemented. The system utilizes an improved LZ4 compression algorithm and micro-batch processing mechanism to optimize data transmission efficiency and computing performance. A 25-node cluster environment was set up for performance testing, and the system achi...Show More
Airborne reconfigurable data processing and analysis technology based on air-ground bidirectional link
2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)
Year: 2024 | Conference Paper |
Airborne real-time data processing is an important way to process flight test data. It plays a very important role in improving the efficiency of data processing, shortening the test flight cycle, and accelerating the delivery of aviation products. This paper studies the airborne reconfigurable data processing and analysis technology based on the air-ground bidirectional link, designs the airborne...Show More
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